John Tapsall

130 papers receiving 3.2k citations

Peers

John Tapsall
Comparison fields: 5 of 131
  • Microbiology 2.5k
  • Molecular Medicine 293
  • Physiology 1.4k
  • Applied Microbiology and Biotechnology 99
  • Epidemiology 820
Replace Jo‐Anne R. Dillon with:
Jo‐Anne R. Dillon Canada
C A Ison United Kingdom
Mitsuru Yasuda Japan
Olusegun O. Soge United States
Daniel Golparian Sweden
H Young United Kingdom
Monica M Lahra Australia
Michelle Cole United Kingdom
Brigitte Lefebvre Canada
Robert D. Kirkcaldy United States
John Tapsall relative to Jo‐Anne R. Dillon Canada Jo‐Anne R. Dillon's profile →
Citations per field
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Citations per year

Countries citing papers authored by John Tapsall

Since Specialization
Citations

This map shows the geographic impact of John Tapsall's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by John Tapsall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Tapsall more than expected).

Fields of papers citing papers by John Tapsall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Tapsall. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by John Tapsall. The network helps show where John Tapsall may publish in the future.

Co-authors

The 25 scholars most cited alongside John Tapsall, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John Tapsall Line = papers co-authored together John Tapsall links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009223
2 2009201
3 2006137
4 2009113
5 2005112
6 2007111
7 2008106
8 201197
9 199890
10
Antimicrobial resistance in Neisseria gonorrhoeae
200189
11 201075
12
The antimicrobial resistance containment and surveillance approach--a public health tool.
200471
13 200563
14 199858
15 200557
16 200157
17 201256
18 200854
19 200351
20 200850

About John Tapsall

John Tapsall is a scholar working on Microbiology, Applied Microbiology and Biotechnology, Physiology, Clinical Biochemistry and Epidemiology, having authored 130 papers that have together received 3.4k indexed citations. Recurring topics across this work include Reproductive tract infections research (77 papers), Bacterial Infections and Vaccines (71 papers), Syphilis Diagnosis and Treatment (36 papers), Pneumonia and Respiratory Infections (21 papers), Streptococcal Infections and Treatments (10 papers), Neonatal and Maternal Infections (8 papers), Infective Endocarditis Diagnosis and Management (8 papers) and Adolescent Sexual and Reproductive Health (5 papers). The work is most often cited by research in Microbiology (2.5k citations), Molecular Medicine (293 citations), Physiology (1.4k citations), Applied Microbiology and Biotechnology (99 citations) and Epidemiology (820 citations). John Tapsall has collaborated with scholars based in Australia, Sweden and United States. Frequent co-authors include Magnus Unemo, David M. Whiley, Theo P. Sloots, Athena Limnios, Sanghamitra Ray, E. Athena Limnios, Francis Ndowa, David A. Lewis, Peter A. White and H Fredlund. Their work appears in journals such as Pathology, Sexually Transmitted Infections, Journal of Clinical Microbiology, Antimicrobial Agents and Chemotherapy and Journal of Medical Microbiology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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